Depth maps play a pivotal role in understanding the scene geometry and structure. Dense scene reconstruction has been achieved by fusing depth and RGB images [1]}, [2]}. Traditional SLAM systems represent scene geometry with dense depth maps (i.e. 2.5D), such as DTAM [3]}. In addition, accurate depth estimation can contribute to the absolute scale recovery for visual SLAM.
